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AutoMarkup: A Tool for Automatically Marking up Text Documents

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2276))

Abstract

In this paper we present a novel system that can automatically mark up text documents into XML. The system uses the Self-Organizing Map (SOM) algorithm to organize marked documents on a map so that similar documents are placed on nearby locations. Then by using the inductive learning algorithm C5, it automatically generates and applies the markup rules from the nearest SOM neighbours of an unmarked document. The system is adaptive in nature and learns from errors in the automatically marked-up document to improve accuracy. The automatically marked-up documents are again arranged on the SOM.

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References

  1. Kohonen, T. (1997). Self-Organizing Maps. Springer Series in Information Science, Berlin, Heidelberg, New York.

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  2. Quinlan, J. R. (1993). C4.5: Programs For Machine Learning. Morgan Kauffman Publishers, San Mateo, Calif.

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  3. Quinlan, J. R. (2000). Data Mining Tools See5 and C5.0. [http://www.rulequest.com/see5-info.html]

  4. Schreibman, S. (1998). The MacGreevy Archive. [http://www.ucd.ie/~cosei/archive.htm]

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© 2002 Springer-Verlag Berlin Heidelberg

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Akhtar, S., Reilly, R.G., Dunnion, J. (2002). AutoMarkup: A Tool for Automatically Marking up Text Documents. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_46

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  • DOI: https://doi.org/10.1007/3-540-45715-1_46

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43219-7

  • Online ISBN: 978-3-540-45715-2

  • eBook Packages: Springer Book Archive

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